ArticleThe Lancet regional health. Europe2026
Time to diagnosis and treatment of obstructive sleep apnoea using mandibular jaw movement monitoring versus polysomnography: an open-label, multicentre, randomised, controlled trial.
Article in The Lancet regional health. Europe, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Obstructive sleep apnoea (OSA) is often underdiagnosed, highlighting the need for scalable diagnostic alternatives. The SUNSAS study compared a new device for at-home diagnosis of OSA (artificial intelligence [AI]-supported analysis of mandibular jaw movements [MJM]) with polysomnography (PSG) for time to diagnosis and treatment, and patient-reported outcomes. Methods: This prospective, multicentre, randomised, controlled, open-label study was conducted in France (October 2021-October 2024). Adults aged 18-80 years with suspected OSA were randomised (1:1) to undergo diagnostic testing using MJM monitoring (Sunrise) or PSG. Primary endpoints were assessed using hierarchical testing: 1. daytime sleepiness (Epworth Sleepiness Scale [ESS] score) at 3 months post-diagnosis and time to diagnosis; 2. time to treatment; and 3. daytime sleepiness at 3 months post-randomisation. Secondary endpoints included quality of life (Short Form-36, Quebec Sleep Questionnaire), work productivity (Work Productivity and Activity Impairment questionnaire), and positive airway pressure therapy adherence at 3 months after treatment initiation. Findings: Of 849 participants randomised (58·7% male, median age 50 years, body mass index 28·0 kg/m Interpretation: OSA diagnosis based on MJM monitoring with AI-supported analysis is noninferior to PSG in reducing daytime sleepiness at 3 months after diagnosis, while significantly accelerating time to diagnosis and treatment initiation, resulting in earlier improvement in daytime sleepiness. Funding: Sunrise, with support from the French Ministry of Health through the
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